{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c8d01073-09a8-4c68-b93b-aef463738bd0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:44:21.754134Z",
     "iopub.status.busy": "2022-09-16T01:44:21.753777Z",
     "iopub.status.idle": "2022-09-16T01:44:27.122303Z",
     "shell.execute_reply": "2022-09-16T01:44:27.121866Z",
     "shell.execute_reply.started": "2022-09-16T01:44:21.754073Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "%pylab is deprecated, use %matplotlib inline and import the required libraries.\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lyz/.local/lib/python3.9/site-packages/requests/__init__.py:102: RequestsDependencyWarning: urllib3 (1.26.8) or chardet (5.0.0)/charset_normalizer (2.0.11) doesn't match a supported version!\n",
      "  warnings.warn(\"urllib3 ({}) or chardet ({})/charset_normalizer ({}) doesn't match a supported \"\n"
     ]
    }
   ],
   "source": [
    "from torch.utils.data.dataset import Dataset\n",
    "from torch.autograd import Variable\n",
    "import torch.optim as optim\n",
    "import torch.nn.functional as F\n",
    "import torch.nn as nn\n",
    "import torchvision.datasets as datasets\n",
    "import torchvision.transforms as transforms\n",
    "import torchvision.models as models\n",
    "import os\n",
    "import sys\n",
    "import glob\n",
    "import argparse\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tqdm import tqdm\n",
    "\n",
    "%pylab inline\n",
    "\n",
    "import cv2\n",
    "from PIL import Image\n",
    "from sklearn.model_selection import train_test_split, StratifiedKFold, KFold\n",
    "\n",
    "import torch\n",
    "torch.manual_seed(0)\n",
    "torch.backends.cudnn.deterministic = False\n",
    "torch.backends.cudnn.benchmark = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "431a9196-30ec-4f86-8da7-cd6e2edc7154",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:49.315766Z",
     "iopub.status.busy": "2022-09-16T01:51:49.315153Z",
     "iopub.status.idle": "2022-09-16T01:51:49.323945Z",
     "shell.execute_reply": "2022-09-16T01:51:49.323394Z",
     "shell.execute_reply.started": "2022-09-16T01:51:49.315714Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_df = pd.read_csv('./input/人员聚集识别挑战赛数据集/train_label.csv')\n",
    "train_df['path'] = './input/人员聚集识别挑战赛数据集/train/' + train_df['name']\n",
    "# np.random.shuffle(train_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ac9f0390-821f-4b51-8758-3f4dd09328b9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:49.518574Z",
     "iopub.status.busy": "2022-09-16T01:51:49.518268Z",
     "iopub.status.idle": "2022-09-16T01:51:49.527368Z",
     "shell.execute_reply": "2022-09-16T01:51:49.526329Z",
     "shell.execute_reply.started": "2022-09-16T01:51:49.518550Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>count</th>\n",
       "      <th>path</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mhTTqKoHOb.jpg</td>\n",
       "      <td>90</td>\n",
       "      <td>./input/人员聚集识别挑战赛数据集/train/mhTTqKoHOb.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>uEEMGtcAsu.jpg</td>\n",
       "      <td>14</td>\n",
       "      <td>./input/人员聚集识别挑战赛数据集/train/uEEMGtcAsu.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rbLlYPkBAJ.jpg</td>\n",
       "      <td>74</td>\n",
       "      <td>./input/人员聚集识别挑战赛数据集/train/rbLlYPkBAJ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FzosxVdhns.jpg</td>\n",
       "      <td>208</td>\n",
       "      <td>./input/人员聚集识别挑战赛数据集/train/FzosxVdhns.jpg</td>\n",
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       "      <th>4</th>\n",
       "      <td>xdCWXNwkOl.jpg</td>\n",
       "      <td>300</td>\n",
       "      <td>./input/人员聚集识别挑战赛数据集/train/xdCWXNwkOl.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             name  count                                       path\n",
       "0  mhTTqKoHOb.jpg     90  ./input/人员聚集识别挑战赛数据集/train/mhTTqKoHOb.jpg\n",
       "1  uEEMGtcAsu.jpg     14  ./input/人员聚集识别挑战赛数据集/train/uEEMGtcAsu.jpg\n",
       "2  rbLlYPkBAJ.jpg     74  ./input/人员聚集识别挑战赛数据集/train/rbLlYPkBAJ.jpg\n",
       "3  FzosxVdhns.jpg    208  ./input/人员聚集识别挑战赛数据集/train/FzosxVdhns.jpg\n",
       "4  xdCWXNwkOl.jpg    300  ./input/人员聚集识别挑战赛数据集/train/xdCWXNwkOl.jpg"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c4046f90-8eb0-4e1f-ba3a-5e13b1d400c2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:49.701022Z",
     "iopub.status.busy": "2022-09-16T01:51:49.700606Z",
     "iopub.status.idle": "2022-09-16T01:51:49.707565Z",
     "shell.execute_reply": "2022-09-16T01:51:49.706527Z",
     "shell.execute_reply.started": "2022-09-16T01:51:49.700976Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_df['count'] /= 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c46e81d0-b02b-4982-84c4-2b53b6d76101",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:50.196919Z",
     "iopub.status.busy": "2022-09-16T01:51:50.196504Z",
     "iopub.status.idle": "2022-09-16T01:51:50.462284Z",
     "shell.execute_reply": "2022-09-16T01:51:50.461889Z",
     "shell.execute_reply.started": "2022-09-16T01:51:50.196874Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f9c9f6be0a0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(cv2.imread(train_df['path'].iloc[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8cf398db-d606-493f-b942-8e8d717e1b4a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:50.463466Z",
     "iopub.status.busy": "2022-09-16T01:51:50.463228Z",
     "iopub.status.idle": "2022-09-16T01:51:50.468212Z",
     "shell.execute_reply": "2022-09-16T01:51:50.467847Z",
     "shell.execute_reply.started": "2022-09-16T01:51:50.463450Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_df = pd.read_csv('./input/人员聚集识别挑战赛数据集/sample_submit.csv')\n",
    "test_df['path'] = './input/人员聚集识别挑战赛数据集/test/' + test_df['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "584f2188-cf45-4d72-abee-4dae0d362926",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:50.497225Z",
     "iopub.status.busy": "2022-09-16T01:51:50.496758Z",
     "iopub.status.idle": "2022-09-16T01:51:50.529842Z",
     "shell.execute_reply": "2022-09-16T01:51:50.528776Z",
     "shell.execute_reply.started": "2022-09-16T01:51:50.497179Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class XunFeiDataset(Dataset):\n",
    "    def __init__(self, img_path, label, transform=None):\n",
    "        self.img_path = img_path\n",
    "        self.label = label\n",
    "        if transform is not None:\n",
    "            self.transform = transform\n",
    "        else:\n",
    "            self.transform = None\n",
    "\n",
    "    def __getitem__(self, index):\n",
    "        img = cv2.imread(self.img_path[index])\n",
    "        img = img.astype(np.float32)\n",
    "\n",
    "        img /= 255.0\n",
    "        img -= 0.5\n",
    "\n",
    "        if self.transform is not None:\n",
    "            img = self.transform(image=img)['image']\n",
    "        img = img.transpose([2, 0, 1])\n",
    "\n",
    "        return img, torch.from_numpy(np.array(self.label[index]))\n",
    "\n",
    "    def __len__(self):\n",
    "        return len(self.img_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "bd5a22b6-3a32-4039-bcc7-a6c6f5f9cbaf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:51:51.195369Z",
     "iopub.status.busy": "2022-09-16T01:51:51.194807Z",
     "iopub.status.idle": "2022-09-16T01:51:51.201826Z",
     "shell.execute_reply": "2022-09-16T01:51:51.201198Z",
     "shell.execute_reply.started": "2022-09-16T01:51:51.195321Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class XunFeiNet(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(XunFeiNet, self).__init__()\n",
    "\n",
    "        model = models.resnet18(True)\n",
    "        model.avgpool = nn.AdaptiveAvgPool2d(1)\n",
    "        model.fc = nn.Linear(512, 1)\n",
    "        self.resnet = model\n",
    "\n",
    "    def forward(self, img):\n",
    "        out = self.resnet(img)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "47539bef-14a7-4881-85e9-0882ff295e6a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:54:54.634508Z",
     "iopub.status.busy": "2022-09-16T01:54:54.634106Z",
     "iopub.status.idle": "2022-09-16T01:54:54.642732Z",
     "shell.execute_reply": "2022-09-16T01:54:54.642071Z",
     "shell.execute_reply.started": "2022-09-16T01:54:54.634471Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def train(train_loader, model, criterion, optimizer):\n",
    "    model.train()\n",
    "    train_loss = 0.0\n",
    "    for i, (input, target) in enumerate(train_loader):\n",
    "        input = input.cuda(non_blocking=True)\n",
    "        target = target.cuda(non_blocking=True)\n",
    "\n",
    "        # compute output\n",
    "        output = model(input)\n",
    "        loss = criterion(output[:, 0], target)\n",
    "\n",
    "        # compute gradient and do SGD step\n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        if i % 40 == 0:\n",
    "            print(loss.item())\n",
    "\n",
    "        train_loss += loss.item()\n",
    "\n",
    "    return train_loss/len(train_loader)\n",
    "\n",
    "\n",
    "def validate(val_loader, model, criterion):\n",
    "    model.eval()\n",
    "\n",
    "    val_acc = 0.0\n",
    "\n",
    "    with torch.no_grad():\n",
    "        end = time.time()\n",
    "        for i, (input, target) in enumerate(val_loader):\n",
    "            input = input.cuda()\n",
    "            target = target.cuda()\n",
    "\n",
    "            # compute output\n",
    "            output = model(input)\n",
    "            loss = criterion(output, target)\n",
    "            val_acc += (output[:, 0] - target).abs().sum().item()\n",
    "\n",
    "    return (val_acc / len(val_loader.dataset)) * 100\n",
    "\n",
    "\n",
    "def predict(test_loader, model, criterion):\n",
    "    model.eval()\n",
    "\n",
    "    test_pred = []\n",
    "    with torch.no_grad():\n",
    "        end = time.time()\n",
    "        for i, (input, target) in enumerate(test_loader):\n",
    "            input = input.cuda()\n",
    "            target = target.cuda()\n",
    "\n",
    "            # compute output\n",
    "            output = model(input)\n",
    "            test_pred.append(output.data.cpu().numpy())\n",
    "\n",
    "    return np.vstack(test_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "c14b410f-de94-4f52-be5b-1377c34bda4a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:54:55.200728Z",
     "iopub.status.busy": "2022-09-16T01:54:55.200363Z",
     "iopub.status.idle": "2022-09-16T01:54:55.207450Z",
     "shell.execute_reply": "2022-09-16T01:54:55.206572Z",
     "shell.execute_reply.started": "2022-09-16T01:54:55.200703Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import albumentations as A\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    XunFeiDataset(train_df['path'].values[:-200], train_df['count'].values[:-200],\n",
    "                  A.Compose([\n",
    "                      A.Resize(300, 300),\n",
    "                      # A.RandomCrop(300, 750),\n",
    "                      A.HorizontalFlip(p=0.5),\n",
    "                      A.RandomContrast(p=0.5),\n",
    "                      A.RandomBrightnessContrast(p=0.5),\n",
    "                      ])\n",
    "                  ), batch_size=5, shuffle=True, num_workers=1, pin_memory=False\n",
    ")\n",
    "\n",
    "val_loader = torch.utils.data.DataLoader(\n",
    "    XunFeiDataset(train_df['path'].values[-200:], train_df['count'].values[-200:],\n",
    "                  A.Compose([\n",
    "                      A.Resize(300, 300),\n",
    "                      # A.RandomCrop(450, 750),\n",
    "                      # A.HorizontalFlip(p=0.5),\n",
    "                      # A.RandomContrast(p=0.5),\n",
    "                      ])\n",
    "                  ), batch_size=2, shuffle=False, num_workers=1, pin_memory=False\n",
    ")\n",
    "\n",
    "# test_loader = torch.utils.data.DataLoader(\n",
    "#     XunFeiDataset(test_df['path'].values,\n",
    "#             A.Compose([\n",
    "#             # A.Resize(300, 300),\n",
    "#             A.RandomCrop(130, 450),\n",
    "#             # A.HorizontalFlip(p=0.5),\n",
    "#             # A.RandomContrast(p=0.5),\n",
    "#         ])\n",
    "#     ), batch_size=10, shuffle=False, num_workers=1, pin_memory=False\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "7f7ee8cb-cfc0-4eb8-96ea-7302144ae7a4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:58:41.247098Z",
     "iopub.status.busy": "2022-09-16T01:58:41.246528Z",
     "iopub.status.idle": "2022-09-16T01:58:41.412680Z",
     "shell.execute_reply": "2022-09-16T01:58:41.412170Z",
     "shell.execute_reply.started": "2022-09-16T01:58:41.247041Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = XunFeiNet()\n",
    "model = model.to('cuda')\n",
    "criterion = nn.L1Loss().cuda()\n",
    "optimizer = torch.optim.SGD(model.parameters(), 0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "b2faad78-e794-4f31-8b56-1a64dbf89ccc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T01:58:42.389488Z",
     "iopub.status.busy": "2022-09-16T01:58:42.388950Z",
     "iopub.status.idle": "2022-09-16T02:02:02.702584Z",
     "shell.execute_reply": "2022-09-16T02:02:02.701682Z",
     "shell.execute_reply.started": "2022-09-16T01:58:42.389437Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1318563222885132\n",
      "1.287915825843811\n",
      "0.6995322704315186\n",
      "4.329068660736084\n",
      "1.7710228131285735 132.7943056595395\n",
      "2.540966510772705\n",
      "0.3791281580924988\n",
      "1.2864559888839722\n",
      "1.1219886541366577\n",
      "1.520945778489113 130.96473682992163\n",
      "2.3079731464385986\n",
      "0.747489333152771\n",
      "1.5027660131454468\n",
      "1.5850056409835815\n",
      "1.4285729101725988 108.78714452125135\n",
      "0.9213108420372009\n",
      "0.3693559765815735\n",
      "1.2964609861373901\n",
      "0.7108353972434998\n",
      "1.4429967337421008 91.49353580836207\n",
      "3.4813218116760254\n",
      "0.8464269042015076\n",
      "0.6350147128105164\n",
      "1.2586427927017212\n",
      "1.391497658405985 85.06338704764842\n",
      "1.6642646789550781\n",
      "0.5779550075531006\n",
      "2.857391119003296\n",
      "1.1143652200698853\n",
      "1.38800864645413 79.47543719001114\n",
      "1.5855133533477783\n",
      "0.9672512412071228\n",
      "1.4637213945388794\n",
      "0.4117327332496643\n",
      "1.487684637095247 96.81877694096418\n",
      "1.1637529134750366\n",
      "1.6942026615142822\n",
      "6.025054454803467\n",
      "2.812028169631958\n",
      "1.3853566883930137 94.79734087705614\n",
      "0.5405675768852234\n",
      "0.5493687987327576\n",
      "4.461000919342041\n",
      "1.1021788120269775\n",
      "1.3317049948232516 79.65107640814502\n",
      "0.4354739785194397\n",
      "0.7271149754524231\n",
      "0.8120020031929016\n",
      "0.7060734033584595\n",
      "1.3539734884032182 108.98399862766266\n",
      "2.664388418197632\n",
      "0.450920969247818\n",
      "2.342257022857666\n",
      "2.8664138317108154\n",
      "1.349784584769181 94.33553947456183\n",
      "0.7592015862464905\n",
      "0.48961421847343445\n",
      "0.5482940077781677\n",
      "0.949589729309082\n",
      "1.296688791577305 81.63317711889742\n",
      "3.0553159713745117\n",
      "2.324467182159424\n",
      "1.2092992067337036\n",
      "1.364537239074707\n",
      "1.3671508743294647 81.21950044258267\n",
      "0.5767726898193359\n",
      "1.3091480731964111\n",
      "0.5433635115623474\n",
      "0.507171094417572\n",
      "1.2665639937988349 84.45635480470956\n",
      "0.7021045684814453\n",
      "0.48040738701820374\n",
      "0.6701449751853943\n",
      "0.3234929144382477\n",
      "1.31885692519801 91.67967347234487\n",
      "0.6820705533027649\n",
      "1.0122394561767578\n",
      "1.0389994382858276\n",
      "2.303694009780884\n",
      "1.3445851319602558 78.85900053501129\n",
      "2.8188998699188232\n",
      "1.0535696744918823\n",
      "1.5997313261032104\n",
      "1.17157781124115\n",
      "1.3678834852363382 85.55427713789047\n",
      "0.41439422965049744\n",
      "0.9627196192741394\n",
      "1.0132441520690918\n",
      "1.0520672798156738\n",
      "1.2682731370840754 85.58008966356515\n",
      "1.9060490131378174\n",
      "1.136783480644226\n",
      "2.107191324234009\n",
      "0.19376812875270844\n",
      "1.305050025667463 100.59176994442942\n",
      "0.9169105887413025\n",
      "0.3323119282722473\n",
      "0.8766477704048157\n",
      "0.5593976974487305\n",
      "1.298489591905049 80.39117731005884\n"
     ]
    }
   ],
   "source": [
    "for _ in range(20):\n",
    "    train_loss = train(train_loader, model, criterion, optimizer)\n",
    "    val_loss = validate(val_loader, model, criterion)\n",
    "    print(train_loss, val_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "6787d12a-b923-4777-abf5-4d90904551d1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T02:02:19.284875Z",
     "iopub.status.busy": "2022-09-16T02:02:19.284426Z",
     "iopub.status.idle": "2022-09-16T02:02:35.540672Z",
     "shell.execute_reply": "2022-09-16T02:02:35.539642Z",
     "shell.execute_reply.started": "2022-09-16T02:02:19.284826Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/lyz/.local/lib/python3.9/site-packages/albumentations/augmentations/transforms.py:1639: FutureWarning: RandomContrast has been deprecated. Please use RandomBrightnessContrast\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "test_loader = torch.utils.data.DataLoader(\n",
    "    XunFeiDataset(test_df['path'].values, [0] * test_df.shape[0],\n",
    "                  A.Compose([\n",
    "                      A.Resize(300, 300),\n",
    "                      # A.RandomCrop(450, 750),\n",
    "                      A.HorizontalFlip(p=0.5),\n",
    "                      A.RandomContrast(p=0.5),\n",
    "                      ])\n",
    "                  ), batch_size=10, shuffle=False, num_workers=1, pin_memory=False\n",
    ")\n",
    "\n",
    "pred = None\n",
    "\n",
    "for _ in range(5):\n",
    "    if pred is None:\n",
    "        pred = predict(test_loader, model, criterion)\n",
    "    else:\n",
    "        pred += predict(test_loader, model, criterion)\n",
    "        \n",
    "pred /=5\n",
    "pred *= 100"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e85ebd1a-6bfa-40b2-a948-2e0c3c348861",
   "metadata": {},
   "source": [
    "# Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "1743990f-d27d-43cd-85fd-23a0ff0f2c36",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T02:03:24.700607Z",
     "iopub.status.busy": "2022-09-16T02:03:24.700039Z",
     "iopub.status.idle": "2022-09-16T02:03:24.708265Z",
     "shell.execute_reply": "2022-09-16T02:03:24.707631Z",
     "shell.execute_reply.started": "2022-09-16T02:03:24.700558Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "submit = pd.DataFrame(\n",
    "    {\n",
    "        'name': [x.split('/')[-1] for x in test_df['path'].values],\n",
    "        'count': pred.reshape(-1).astype(int)\n",
    "        })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "cc565971-7a5f-4bb0-8ab5-c33281bc469c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T02:03:25.475209Z",
     "iopub.status.busy": "2022-09-16T02:03:25.474760Z",
     "iopub.status.idle": "2022-09-16T02:03:25.479818Z",
     "shell.execute_reply": "2022-09-16T02:03:25.478997Z",
     "shell.execute_reply.started": "2022-09-16T02:03:25.475160Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# test_df = pd.read_csv('提交示例.csv')\n",
    "# test_df['label'] = pred.argmax(1)\n",
    "\n",
    "# submit = submit.sort_values(by='id')\n",
    "# test_df.to_csv('submit2.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "129ff32f-8444-4cf2-9997-0101960ea490",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-09-16T02:03:26.229746Z",
     "iopub.status.busy": "2022-09-16T02:03:26.229332Z",
     "iopub.status.idle": "2022-09-16T02:03:26.266495Z",
     "shell.execute_reply": "2022-09-16T02:03:26.265519Z",
     "shell.execute_reply.started": "2022-09-16T02:03:26.229700Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "submit.to_csv('sub.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7cc02306-d27d-4b5c-a6c5-1777ef71bda8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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